Senior Data Scientist + Machine Learning Engineer
Neo.TaxTax Automation company
RemoteSenior
Acrew Capital
Autopilot Fund
Mindset Ventures
Thomson Reuters Ventures
Voxly Partners
Infinity Ventures
Data & AI
About the role
TL;DR
Build and ship ML models and systems for tax and accounting automation.
- •Neo.Tax is seeking a Senior Data Scientist + Machine Learning Engineer to build and ship models and production ML systems that power our core product experiences and automate complex tax and accounting workflows.
- •Key Responsibilities Own ML/AI problem spaces end-to-end.
- •Build and improve models spanning classification, information extraction, entity resolution, clustering, ranking, anomaly detection, and forecasting.
- •Design and evaluate prompt + retrieval + tool-calling pipelines; improve quality through datasets, labeling, and systematic evaluation.
- •Requirements MS/PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience. 6+ years of industry experience as a Data Scientist / Applied Scientist / ML Engineer shipping ML to production.
- •Strong proficiency in Python and the modern data/ML ecosystem (NumPy/Pandas, scikit-learn, PyTorch or TensorFlow).
Required skills
PythonNumPyPandasscikit-learnPyTorchTensorFlowSQL
Nice-to-have skills
LLMsA/B Testing
Domain expertise
fintech
Tech stack
PythonNumPyPandasscikit-learnPyTorchTensorFlowSQL